MS-SE Track

The Systems Engineering track MS is a 30-credit coursework-only
degree. The SE core curriculum is comprised of four courses that
constitute 14 credits. The other 16 credits come from electives. Core course
descriptions are provided below. Students who wish to increase depth in one or more
of these topics can take advanced courses from the menu of ISyE graduate
courses. They can also choose from a rich assortment of sample programs
to achieve breadth in a variety of application areas. Examples include
Health Informatics, Nano-Engineering, Biomedical Engineering, and Industrial
Mathematics.

Core Course Requirements

IE 5111. Systems Engineering I (2 cr; prereq upper division
or grad status)
This course provides a broad-brush overview of systems-level thinking
and techniques in the context of an integrated, design-oriented framework.
It focuses on the elements of the systems engineering process including
lifecycle, concurrent, and global engineering. Students will exit this
course with a framework for engineering large-scale, complex systems.

IE 5113. Systems Engineering II (4 cr; prereq 5111,
upper division or grad status, basic probability is required)
This course provides a more in-depth view of systems engineering thinking
and techniques presented in Systems Engineering I course. Students will
gain a hands-on understanding of techniques learned in Systems Engineering
I, through application to specific problems. Additionally, the course
will introduce topics pertinent to the effectiveness of the design process
including design practices, organizational and reward structure required
to support a collaborative, globally distributed design team.

IE 5541. Project Management (4 cr; upper division or
graduate status)
This course is intended to provide an introduction to engineering project
management. Its objective is to expose students to analytical methods
of selecting, organizing, budgeting, scheduling, and controlling projects,
including risk management, team leadership, and program management.

IE 5553 Simulation (4 cr; upper division or graduate
status; some familiarity with probability and statistics is desirable)
Discrete event simulation. Using integrated simulation/animation environments
to create, analyze, and evaluate realistic models for use in various industry
settings, including manufacturing and service operations and systems engineering.
Experimental design for simulation. Selecting input distributions, evaluating
simulation output